gchhablani
commited on
Commit
•
4e87dde
1
Parent(s):
8b26d0e
Training in progress, epoch 2
Browse files- checkpoint-460/config.json +36 -0
- checkpoint-460/optimizer.pt +3 -0
- checkpoint-460/pytorch_model.bin +3 -0
- checkpoint-460/rng_state.pth +3 -0
- checkpoint-460/scheduler.pt +3 -0
- checkpoint-460/special_tokens_map.json +1 -0
- checkpoint-460/tokenizer.json +0 -0
- checkpoint-460/tokenizer_config.json +1 -0
- checkpoint-460/trainer_state.json +50 -0
- checkpoint-460/training_args.bin +3 -0
- checkpoint-460/vocab.txt +0 -0
- pytorch_model.bin +1 -1
- runs/Sep16_16-48-11_patrick-general-gpu/events.out.tfevents.1631810908.patrick-general-gpu.172718.0 +2 -2
checkpoint-460/config.json
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{
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"_name_or_path": "bert-base-cased",
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_dropout": null,
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"finetuning_task": "mrpc",
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"gradient_checkpointing": false,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.1,
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"hidden_size": 768,
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"id2label": {
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"0": "not_equivalent",
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"1": "equivalent"
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},
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"initializer_range": 0.02,
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"intermediate_size": 3072,
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"label2id": {
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"equivalent": 1,
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"not_equivalent": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 0,
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.11.0.dev0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 28996
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}
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checkpoint-460/optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:252c07086a29d9c5fafc04d43080fb76d3e55c50a9c915d7dc94ee4b7412c6af
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size 866610973
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checkpoint-460/pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:965d23effd7512f42278b810a84a409210dd8e32d685053be959c109af316e2e
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size 433331373
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checkpoint-460/rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:ccc16ff0150dc3ab66a8205e40c0c282347fc47e867d51f58806e02c1c468250
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size 14503
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checkpoint-460/scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:984f68510d5d14d7f75fdf77ca520aa142e5b55d3c2ea9d8beb77e4b40c4ae7b
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size 623
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checkpoint-460/special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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checkpoint-460/tokenizer.json
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checkpoint-460/tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "bert-base-cased", "tokenizer_class": "BertTokenizer"}
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checkpoint-460/trainer_state.json
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{
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"best_metric": null,
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"best_model_checkpoint": null,
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"epoch": 2.0,
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"global_step": 460,
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"is_hyper_param_search": false,
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"is_local_process_zero": true,
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"is_world_process_zero": true,
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"log_history": [
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{
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"epoch": 1.0,
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"learning_rate": 1.6000000000000003e-05,
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"loss": 0.5981,
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"step": 230
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},
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{
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"epoch": 1.0,
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"eval_accuracy": 0.7892156862745098,
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"eval_combined_score": 0.8227014886222047,
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"eval_f1": 0.8561872909698997,
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"eval_loss": 0.45800894498825073,
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"eval_runtime": 4.1966,
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"eval_samples_per_second": 97.221,
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"eval_steps_per_second": 12.153,
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"step": 230
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},
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{
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"epoch": 2.0,
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"learning_rate": 1.2e-05,
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"loss": 0.3739,
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"step": 460
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},
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{
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"epoch": 2.0,
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"eval_accuracy": 0.8480392156862745,
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"eval_combined_score": 0.8711185839523523,
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"eval_f1": 0.89419795221843,
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"eval_loss": 0.38060691952705383,
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"eval_runtime": 4.1663,
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"eval_samples_per_second": 97.928,
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"eval_steps_per_second": 12.241,
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"step": 460
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}
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],
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"max_steps": 1150,
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"num_train_epochs": 5,
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"total_flos": 1930182702120960.0,
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"trial_name": null,
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"trial_params": null
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}
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checkpoint-460/training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:c8281bedb20092f0f04f54b17beca2ef4df4174a4f98ca39b9bf37f14eac3ae9
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size 2799
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checkpoint-460/vocab.txt
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The diff for this file is too large to render.
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pytorch_model.bin
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runs/Sep16_16-48-11_patrick-general-gpu/events.out.tfevents.1631810908.patrick-general-gpu.172718.0
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